Hysteresis in Sodium-ion Batteries: Temperature and Relaxation Time Effects

This study investigates the impact of temperature and relaxation time on sodium-ion battery hysteresis. To achieve the latter, accurate characterization of the relationship between open-circuit voltage and state-of-charge was implemented. This relationship was further modeled using the MATLAB curve fitting toolbox keeping the root mean squared error below 5%. The experimental results reveal significant hysteresis levels, particularly at low state-of-charge values, reaching a maximum of 0.2252V. In addition, hysteresis diminishes with increasing temperature and relaxation time. These results underscore the importance of accounting for hysteresis and its variations when accurately estimating state-of-charge and optimizing battery performance.

Authors

Institutions

Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vppc63154.2024.10755409
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hysteresis in Sodium-ion Batteries: Temperature and Relaxation Time Effects

Nagham El Ghossein, Tedjani Mesbahi, Sary Yehia, Lakhdar Mamouri
Advancements in Battery Materials
article

Hysteresis in Sodium-ion Batteries: Temperature and Relaxation Time Effects

Nagham El Ghossein, Tedjani Mesbahi, Sary Yehia, Lakhdar Mamouri
article en

Abstract

This study investigates the impact of temperature and relaxation time on sodium-ion battery hysteresis. To achieve the latter, accurate characterization of the relationship between open-circuit voltage and state-of-charge was implemented. This relationship was further modeled using the MATLAB curve fitting toolbox keeping the root mean squared error below 5%. The experimental results reveal significant hysteresis levels, particularly at low state-of-charge values, reaching a maximum of 0.2252V. In addition, hysteresis diminishes with increasing temperature and relaxation time. These results underscore the importance of accounting for hysteresis and its variations when accurately estimating state-of-charge and optimizing battery performance.

Institut National des Sciences Appliquées de Strasbourg (FR), Lebanese American University (LB), Université de Strasbourg (FR)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 81%
Advancements in Battery Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.